Seung Yun Nam

Pukyong National University

Papers

1

Total Citations

3

H-Index

1

About

Seung Yun Nam is a pioneering researcher at the intersection of artificial intelligence and advanced manufacturing, whose work is redefining the future of digital fabrication. His primary research areas encompass artificial intelligence-augmented additive manufacturing (AI2AM), intelligent process optimization, and autonomous production systems. Nam’s most notable contribution is his seminal 2026 roadmap paper on AI2AM, which has already garnered 3 citations and is shaping the discourse on how AI can serve as a central, adaptive framework rather than a peripheral tool in manufacturing. This work outlines a transformative vision where machine learning algorithms enable real-time defect detection, material property prediction, and self-correcting printing processes. By embedding intelligence directly into the additive manufacturing workflow, Nam is pioneering methods that promise to dramatically reduce waste, accelerate prototyping, and enable the production of complex geometries previously impossible to fabricate. His research holds profound implications for industries ranging from aerospace to biomedical engineering, positioning him as a key architect of the next generation of smart factories.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing
3 citations · 2026
📈 Most Prolific Year: 2026 (1 Papers)
🤝 Key Collaborators: 37
🏛 Institutions: Pukyong National University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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